Study of Disaster Susceptibility and Economic Vulnerability to Strengthen Disaster Risk Reduction Instruments in Batu City, Indonesia

Suprapto, Firre An; Juanda, Bambang; Rustiadi, Ernan; Munibah, Khursatul

doi:10.3390/land11112041

Cited by 5 publications

(4 citation statements)

References 38 publications

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“…The classes of each parameter can be seen on Table 3. Lastly, the economic vulnerability is calculated by using the Equation 4 (Suprapto et al, 2022):…”

Section: Economic Vulnerability Index (Ecvi)mentioning

confidence: 99%

Spatial-Based Landslide Vulnerability Index Assessment in Bogor Area, Indonesia

Trisnafiah,

Trinugroho,

Astisiasari

et al. 2024

Geos. Ind.

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Within the concept of disaster risk, vulnerability is one of the key determinants. It acknowledges the degree of unsafe conditions in a susceptible zone so that mitigation measures and disaster resilience can be enforced. Bogor area is the most susceptible region to landslides with more than 485 landslide events since 2012. However, there is still inadequate information on its vulnerability to landslides, as the risk reduction challenge per se, is a long-run task. Correspondingly, this study aims to measure the degree of vulnerability to landslides in Bogor area from four focal points (i.e.: social, physical, economic, and environmental dimensions), through the proxy of Vulnerability Index (VI). This study employs a GIS-based spatial analysis on a sub-district level. The result shows that although having high records on landslide events, Bogor area mainly retrieves low VI. In general, Bogor area has low VI [0.347–0.454] on 26 sub-districts. Moreover, 13 sub-districts attain medium VI (0.454–0.562], and 7 sub-districts achieve high VI (0.562–0.670]. Sub-districts that have high VI are: Bogor Tengah, Bogor Barat, Bogor Selatan, Cibinong, Bojonggede, Ciomas, and Bogor Utara; which are mainly promoted by the high indexes on social and physical vulnerabilities. Nevertheless, further study is still needed to extend the knowledge of relationship between landslide susceptibility and this vulnerability result, by using a more extensive and longer data series. That is especially in accord with taking the appropriate mitigation measures in spatial planning and landslide risk management.

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“…The classes of each parameter can be seen on Table 3. Lastly, the economic vulnerability is calculated by using the Equation 4 (Suprapto et al, 2022):…”

Section: Economic Vulnerability Index (Ecvi)mentioning

confidence: 99%

Spatial-Based Landslide Vulnerability Index Assessment in Bogor Area, Indonesia

Trisnafiah,

Trinugroho,

Astisiasari

et al. 2024

Geos. Ind.

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“…Furthermore, to model data on economic losses due to natural disasters, the Weibull distribution model can be used. The expectation and variance of the Weibull distribution model are formulated in Equations ( 3) and (4) [35,36].…”

Section: E[y T ] = λT E[z]mentioning

confidence: 99%

Model for Determining Insurance Premiums Taking into Account the Rate of Economic Growth and Cross-Subsidies in Providing Natural Disaster Management Funds in Indonesia

Kalfin,

Sukono,

Supian

et al. 2023

Sustainability

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Natural disasters are increasing due to climate change, which is causing economic losses for countries affected by them. Disaster management funds need to be provided, including through purchasing insurance. Determining natural disaster insurance premiums needs to involve consideration of the geographical conditions of the country. The aim of this research was to develop a model for determining natural disaster insurance premiums using the jumping processes method and a cross-subsidy system. The model takes into account the level of economic growth and the natural disaster potential index. The data analyzed relate to cases of natural disasters and losses that occurred in each province in Indonesia. From the results of the analysis, it was found that through a cross-subsidy system, the principle of mutual cooperation can be applied in managing natural disasters. Regions with a high level of economic growth and a low natural disaster potential index need to provide subsidies to regions with a low economic growth rate and a high natural disaster potential index. It was also found that the cost of insurance premiums was influenced by the size of losses and the frequency of natural disasters in the province. The greater the potential for disasters and economic losses experienced by a province due to disasters, the greater the premium burden that must be borne, and vice versa. Based on these conditions, insurance premiums vary in each province in Indonesia. It is hoped that the results of this research can provide a reference for the government in determining policies for providing funds for natural disaster management using a cross-subsidy system. In addition, this research can provide a reference for insurance companies in determining natural disaster insurance premiums in Indonesia.

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“…The analysis of keywords utilized by scholars to investigate previous research within the Scopus database reveals a substantial body of scholarly literature concerning risk management in rural regions, specifically within the setting of Indonesia. Nevertheless, the current corpus of academic literature about risk management in rural areas has predominantly concentrated on the field of disaster management [27], volcano case threat [28], and related household vulnerabilities in the Philippines [29].…”

Section: Introductionmentioning

confidence: 99%

Village Government’s Risk Management and Village Fund Administration in Indonesia

Ginting,

Widianingsih,

Mulyawan

et al. 2023

Sustainability

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This study examines the application of risk management in managing village funds, motivated by the village government’s efforts to improve financial management. This research focuses on activities involved in village fund management, including planning, budgeting, administration, reporting, accountability, and supervision. This study analyzes how village governments carry out risk management by considering efficiencies, innovation in public resource management, and anticipating and prioritizing potential threats and opportunities. Data collection involved participant observation, interviews, and analysis of written documents, images, and archives. The result shows that risk management is essential for the management of village funds, and avoiding mistakes in rural communities should be part of their planning and participation. This study highlights the importance of adequate human resources, both in regard to quantity and quality, but it is necessary to pay attention to local strengths by utilizing the nature of cooperation and family skills. Overall, the study emphasizes the need to prioritize risk management in managing village funds to encourage accountability and the efficient use of resources.

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Study of Disaster Susceptibility and Economic Vulnerability to Strengthen Disaster Risk Reduction Instruments in Batu City, Indonesia

Cited by 5 publications

References 38 publications

Spatial-Based Landslide Vulnerability Index Assessment in Bogor Area, Indonesia

Spatial-Based Landslide Vulnerability Index Assessment in Bogor Area, Indonesia

Model for Determining Insurance Premiums Taking into Account the Rate of Economic Growth and Cross-Subsidies in Providing Natural Disaster Management Funds in Indonesia

Village Government’s Risk Management and Village Fund Administration in Indonesia

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